Mode of
study
Flexible
Duration
3 Years (Statistics background), 4 Years (Non-statistics background)
Campus
East Legon
Local Fees
GH₵ 20,700.00
International Fees
GH₵ 22,080.00
Entry year
2024-2025
The Doctor of Philosophy in Statistics is a highly esteemed academic degree programme, offering advanced studies in the field of statistics. This comprehensive programme provides an in-depth curriculum that ensures students develop a profound understanding of statistical theories, methodologies, and techniques. Pursuing a Doctor of Philosophy in Statistics allows individuals to engage in rigorous research, contribute to the advancement of statistical knowledge, and make significant contributions to their respective fields.
The programme typically includes coursework, seminars, and independent research projects, fostering the development of critical thinking, problem-solving, and analytical skills. Given the increasing demand for professionals with expertise in statistics, obtaining a Doctor of Philosophy in Statistics opens up a multitude of career opportunities across various sectors, including academia, government, industry, and research organizations.
Graduates of this programme are equipped with the necessary skills and knowledge to tackle complex statistical problems, analyze data, and provide valuable insights for informed decision-making processes.
In summary, a Doctor of Philosophy in Statistics is a prestigious and intellectually stimulating programme, offering individuals the opportunity to become leading experts in the field of statistics and contribute significantly to the advancement of statistical knowledge.
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Master's Degree Holders
Candidates with research Masters, (i.e., MSc/MPhil who have conducted one full year research) in Statistics, Actuarial Science, Mathematics or related quantitative discipline, can be admitted directly into the PhD programme.
Non-Research Master's Degree Holders
Exception is given to non-research Master’s degree holders with the technical background, having CGPA of 3.5 or better, grade C or better in Research Methods. Such exceptional candidates can be admitted directly into the PhD programme.
Other Master's Degree Holders
Candidates with non-mathematical/statistical master's degree such as Economics, Sociology, Health, Agriculture, Geography etc. would be admitted into the doctorial degree for four years. The first year would be a preparatory programme and the subsequent 3 years for research. Only Candidates with a B or CGPA of 3.0 or better will be admitted into the Preparatory programme.
The PhD Statistics Programme is primarily a research-based post-graduate programme. The programme has a 3-year duration (maximum 4 years) during which the student will be generating new knowledge and considering that new information in relation to existing information. The programme interprets the term “statistics” very broadly and permits specialization in probability, statistical theory and analysis, biostatistics, and interdisciplinary areas of application. Qualified students would typically have a strong background in mathematics. The student is expected to carry out a programme of research under the supervision of a primary supervisor and one or more co-supervisors. The programme offers opportunities for PhD research in several areas of statistics including:
PhD Preparatory Year
The first year consists of taught courses in three trimesters, followed by three years of research. The total minimum number of credits for this preparatory year is 36 with each trimester carrying 12 credits. Admission to the programme is a good second degree in non-mathematical disciplines and candidates must meet the GS requirements (e.g. CGPA of 3.5) for progression from Preparatory Year to Year 1.
Upon registering and selecting your research topic, you'll be assigned a renowned faculty member as your supervisor. This expert in the field will be your go-to resource throughout the program, providing:
Within the first month, you'll collaborate with your supervisor to create a personalized training plan. This plan will consider your:
By tailoring your training, we ensure you develop the essential skills and knowledge necessary for success in your chosen field.
During your first semester, you'll complete a non-credit course in Research Methodology and Data Analysis. This essential course equips you with the foundational skills needed to conduct rigorous research and analyze complex data effectively.
Dominion University College's PhD in Statistics programme offers a supportive and empowering environment for aspiring statisticians.
The second year of your PhD in Statistics programme at Dominion University College is dedicated to solidifying your research foundation and establishing yourself within the academic community.
Key activities during this year include:
By the end of year two, you'll be expected to submit a paper for publication in a scientific journal or presentation at a reputable conference. This requirement further strengthens your research skills, hones your communication abilities, and prepares you for the final stages of your PhD journey.
Dominion University College's PhD programme fosters an environment of active learning, research exploration, and professional development. We equip you with the tools and opportunities to become a successful and well-rounded researcher in the field of statistics.
The third year of your PhD in Statistics at Dominion University College signifies the culmination of your research endeavors and the demonstration of your intellectual contribution.
Key milestones in this year include:
Throughout your PhD journey at Dominion University College, you'll benefit from:
By successfully completing your thesis and viva examination, you'll not only earn your PhD in Statistics but also gain valuable research and professional skills that will propel you towards a successful career in your chosen field.
Dominion University College is committed to empowering you to become a leading researcher and a valuable contributor to the ever-evolving field of statistics.
Some potential career paths for our PhD in statistics degree graduates include:
• Data Scientist
• Statistical Consultant
• Researcher
• Quantitative Analyst
• Biostatistician
• Professor/ Academician
• Financial Mathematician
• Business Consultant
• Statistician
• Data Analyst and many more
Some potential career paths for our PhD in statistics degree graduates include:
• Data Scientist
• Statistical Consultant
• Researcher
• Quantitative Analyst
• Biostatistician
• Professor/ Academician
• Financial Mathematician
• Business Consultant
• Statistician
• Data Analyst and many more
Explore detailed information about our tuition costs and payment options. We are committed to providing a transparent and affordable education for all our students.
Year 1 Semester Fees
20,700.00
(12 credit minimum)
Year 2 Semester Fees
18,120.00
(12 credit minimum)
Year 3 Semester Fees
18,120.00
(12 credit minimum)
Year 4 Semester Fees
NULL
(12 credit minimum)
Year 1 Semester Fees
22,080.00
(12 credit minimum)
Year 2 Semester Fees
19,320.00
(12 credit minimum)
Year 3 Semester Fees
19,320.00
(12 credit minimum)
Year 4 Semester Fees
NULL
(12 credit minimum)